Mohammad Zia Ur Rehman
Orcid: 0000-0001-6374-8102
According to our database1,
Mohammad Zia Ur Rehman authored at least 26 papers
between 2023 and 2026.
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Bibliography
2026
A multimodal-multitask framework with cross-modal relation and hierarchical interactive attention for semantic comprehension.
Inf. Fusion, 2026
Detecting implicit sexism in digital social networks via contrastive learning-based adaptive network.
Comput. Electr. Eng., 2026
X-MuTeST: A Multilingual Benchmark for Explainable Hate Speech Detection and a Novel LLM-Consulted Explanation Framework.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
Uncertainty-aware Semi-supervised Ensemble Teacher Framework for Multilingual Depression Detection.
CoRR, December, 2025
A Multimodal Framework for Depression Detection during Covid-19 via Harvesting Social Media: A Novel Dataset and Method.
CoRR, November, 2025
RoGBot: Relationship-Oblivious Graph-based Neural Network with Contextual Knowledge for Bot Detection.
CoRR, October, 2025
An Explainable Deep Neural Network with Frequency-Aware Channel and Spatial Refinement for Flood Prediction in Sustainable Cities.
CoRR, September, 2025
An Adaptive Supervised Contrastive Learning Framework for Implicit Sexism Detection in Digital Social Networks.
CoRR, July, 2025
A context-aware attention and graph neural network-based multimodal framework for misogyny detection.
Inf. Process. Manag., 2025
Hierarchical Attention-enhanced Contextual CapsuleNet for Multilingual Hope Speech Detection.
Expert Syst. Appl., 2025
A social context-aware graph-based multimodal attentive learning framework for disaster content classification during emergencies.
Expert Syst. Appl., 2025
Emotion-aware dual cross-attentive neural network with label fusion for stance detection in misinformative social media content.
Eng. Appl. Artif. Intell., 2025
A multi-temporal multi-spectral attention-augmented deep convolution neural network with contrastive learning for crop yield prediction.
Comput. Electron. Agric., 2025
T-MPEDNet: Unveiling the Synergy of Transformer-aware Multiscale Progressive Encoder-Decoder Network with Feature Recalibration for Tumor and Liver Segmentation.
Biomed. Signal Process. Control., 2025
Proceedings of the IEEE International Conference on Data Mining, 2025
ImpliHateVid: A Benchmark Dataset and Two-stage Contrastive Learning Framework for Implicit Hate Speech Detection in Videos.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
2024
A Multimodal Framework for Depression Detection During COVID-19 via Harvesting Social Media.
IEEE Trans. Comput. Soc. Syst., April, 2024
A contrastive topic-aware attentive framework with label encodings for post-disaster resource classification.
Knowl. Based Syst., 2024
A hybrid filtering for micro-video hashtag recommendation using graph-based deep neural network.
Eng. Appl. Artif. Intell., 2024
GCM-Net: Graph-enhanced Cross-Modal Infusion with a Metaheuristic-Driven Network for Video Sentiment and Emotion Analysis.
CoRR, 2024
A Comprehensive Survey of Mamba Architectures for Medical Image Analysis: Classification, Segmentation, Restoration and Beyond.
CoRR, 2024
A Multilateral Attention-enhanced Deep Neural Network for Disease Outbreak Forecasting: A Case Study on COVID-19.
CoRR, 2024
CoTCoNet: An optimized coupled transformer-convolutional network with an adaptive graph reconstruction for leukemia detection.
Comput. Biol. Medicine, 2024
An Explainable Contrastive-based Dilated Convolutional Network with Transformer for Pediatric Pneumonia Detection.
Appl. Soft Comput., 2024
2023
KisanQRS: A deep learning-based automated query-response system for agricultural decision-making.
Comput. Electron. Agric., October, 2023
Inf. Process. Manag., September, 2023